Extract reusable error-resolution and debugging patterns into Markdown skill files.
npx skills add https://github.com/thesimonho/dotfiles --skill learn-thesimonho
Please help me install this Agent Skill. Skill: learn Source: https://github.com/thesimonho/dotfiles/tree/main/AI/skills/learn Command: npx skills add https://github.com/thesimonho/dotfiles --skill learn-thesimonho
This Skill helps you automatically extract recurring patterns, resolutions, and insights from a session so you can reuse them as future skills.
Describe the session context and trigger the extraction flow to create a new skill file.
High-intent search queries and answers about installing and using this skill.
To extract reusable patterns from a debugging session, trigger the automated extraction flow to identify error-resolution techniques and project-specific workarounds. The system analyzes your current session context and prompts you to confirm saving the extracted insight.
Session analysis for knowledge management is the process of identifying recurring error-resolution patterns and architectural insights from your work. It converts transient session data into structured, named Markdown skills for future reference.
You save error-resolution patterns as Markdown skill files by running the extraction process during or after a session. The identified pattern is stored automatically under the ~/.claude/skills/learned/ directory using a defined pattern name.
Yes, you can catalog project-specific workarounds for future reuse. The system identifies these workarounds during session analysis and organizes them into named skills, prompting you for confirmation before storing them in your pattern library.
Yes, you need to manually confirm before a pattern is saved to the library. The extraction flow uses on-demand activation, prompting you to review and approve the identified pattern before it is written as a Markdown file.
The best way to build a pattern library from session insights is to automate the extraction of debugging techniques and architectural patterns. This ensures consistent cataloging of workarounds into named Markdown files for reliable future retrieval.
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